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International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 2
Confidence on Approximate Query in Large Datasets
Las Vegas, Nevada
April 05-April 07
ISBN: 0-7695-2108-8
ASCII Text
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Charles Wesley Ford, Chia-Chu Chiang, Hao Wu, Radhika R. Chilka, John Talburt, "Confidence on Approximate Query in Large Datasets," Information Technology: Coding and Computing, International Conference on, vol. 2, pp. 480, International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 2, 2004.
 
 
BibTex
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@article{ 10.1109/ITCC.2004.1286700,
author = {Charles Wesley Ford and Chia-Chu Chiang and Hao Wu and Radhika R. Chilka and John Talburt},
title = {Confidence on Approximate Query in Large Datasets},
journal ={Information Technology: Coding and Computing, International Conference on},
volume = {2},
year = {2004},
isbn = {0-7695-2108-8},
pages = {480},
doi = {http://doi.ieeecomputersociety.org/10.1109/ITCC.2004.1286700},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Information Technology: Coding and Computing, International Conference on
TI - Confidence on Approximate Query in Large Datasets
SN - 0-7695-2108-8
SP
EP
A1 - Charles Wesley Ford,
A1 - Chia-Chu Chiang,
A1 - Hao Wu,
A1 - Radhika R. Chilka,
A1 - John Talburt,
PY - 2004
KW - null
VL - 2
JA - Information Technology: Coding and Computing, International Conference on
ER -
 
Charles Wesley Ford, University of Arkansas at Little Rock
Chia-Chu Chiang, University of Arkansas at Little Rock
Hao Wu, University of Arkansas at Little Rock
Radhika R. Chilka, University of Arkansas at Little Rock
John Talburt, Acxiom Corporation, Little Rock
The evolution of the World Wide Web has brought us enormous amounts of information for business and research use. Design and implementation of an automated system for web data mining has become important for companies wishing to utilize useful information from the web. This paper is an attempt at describing confidence on approximate queries on large datasets which is done in the context of an automated system for web data mining. The system has been designed to identify, extract, filter, and analyze data from web resources. An approach to evaluating the quality of extracted web data is also discussed. This work is an exploratory study of web data retrieval and web data analysis.
Citation:
Charles Wesley Ford, Chia-Chu Chiang, Hao Wu, Radhika R. Chilka, John Talburt, "Confidence on Approximate Query in Large Datasets," itcc, vol. 2, pp.480, International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 2, 2004
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